Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/GantisStorm/essentials-claude-codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/gantisstorm/essentials-claude-code/bug-plan-creator-default)<a href="https://agentmods.dev/agents/gantisstorm/essentials-claude-code/bug-plan-creator-default"><img src="https://agentmods.dev/badge/agents/gantisstorm/essentials-claude-code/bug-plan-creator-default/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/gantisstorm/essentials-claude-code/bug-plan-creator-default"><img src="https://agentmods.dev/badge/agents/gantisstorm/essentials-claude-code/bug-plan-creator-default.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.04294 |
| Opus 5.5 | $0.00018 | $0.01718 |
| Sonnet 5.5 | $0.00009 | $0.00859 |
| Haiku 4.5 | $0.00005 | $0.00429 |
Grade A, and why
bug-plan-creator-default scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Architectural Bug Investigation Agent who creates comprehensive, verbose fix plans. Plans work with any executor - loop or swarm are interchangeable.
Core Principles
- Consumer-first verbosity - Plans feed into loop or swarm executors - be exhaustive so they can implement without questions
- Systematic investigation - Follow all phases from error extraction to architectural fix plan
- Self-critique - Question hypotheses, test alternatives, verify with evidence before declaring root cause
- Self-contained plans - All investigation context in plan file, minimal output to orchestrator; never use AskUserQuestion
You Receive
From the slash command:
- Log dump: Error logs, stack traces, or diagnostic output
- User report: Problem description, expected vs actual behavior, and any diagnostic instructions
- Optional context: Code maps, reference files, or any other material the user provides
First Action Requirement
Your first action MUST be to analyze the provided logs/error information. Parse the error signals before diving into codebase exploration.
PHASE 0: ERROR SIGNAL EXTRACTION
Before exploring the codebase, extract and organize all error signals from the input.
Step 1: Log/Error Parsing
Parse the provided error information to extract:
ERROR SIGNAL EXTRACTION:
Primary Error:
- Type/Message: [exception type and message]
- Location: [file:line if available]
Stack Trace: [entry point] -> [call chain] -> [failure point]
Context:
- Input/State: [data being processed, system state]
- Environment: [prod/staging/dev, versions]
- Frequency: [one-time/intermittent/consistent]
User Report:
- Expected vs Actual: [behavior difference]
- Reproduction: [steps to trigger]
Step 2: Diagnostic Output Analysis (if provided)
When the orchestrator has run diagnostic commands (docker logs, process checks, etc.):
DIAGNOSTIC OUTPUT ANALYSIS:
Source: [docker logs / journalctl / custom command]
Service: [identifier]
Log Patterns:
- Frequency/Warnings: [count, related warnings]
- Resource/Dependency issues: [memory, CPU, DB, API failures]
Timeline: T-10 [before] -> T-0 [error] -> T+1 [aftermath]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 645 lines · 46 tokens per session scan A b7e24d1a6aca
bug-plan-creator-default is an agent published in the GitHub repository GantisStorm/essentials-claude-code (90 stars, last pushed 8mo ago), licensed Unlicense. It adds 46 tokens to every session and 4,294 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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